We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a highly collaborative, hands-on team in West Hollywood. This is an on-site role for someone who enjoys building, owning, and evolving data platforms end-to-end. You’ll work closely with technical and non-technical stakeholders, take ownership of complex data challenges, and help drive cross-functional initiatives.</p><p>This role requires someone who is curious, independent, and comfortable rolling up their sleeves to solve foundational and ambiguous problems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data pipelines using Python and SQL</li><li>Develop and manage cloud-based data infrastructure (GCP, AWS, or Azure)</li><li>Own data orchestration workflows (Prefect preferred; Airflow or Dagster experience is transferable)</li><li>Implement robust data modeling practices (dbt preferred; strong SQL foundations required)</li><li>Reconcile multiple data sources and establish master data management strategies</li><li>Partner with stakeholders to define requirements, track deliverables, and run cross-functional projects</li><li>Support containerized workloads and data services using Docker and Kubernetes</li><li>Evaluate and integrate low-code or no-code data syncing tools where appropriate</li></ul><p>What We’re Looking For</p><ul><li>Someone who takes ownership and can be “pointed at a problem” and run with it</li><li>A builder who enjoys both strategy and execution</li><li>A strong data engineering foundation with curiosity about modern AI-enabled architectures</li></ul><p>If you’re excited about building resilient data systems, collaborating cross-functionally, and pushing into AI-enhanced data platforms—this role offers the opportunity to make a meaningful impact from day one.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
<p>Job Title: Senior Salesforce Developer</p><p><strong>Location:</strong> Remote (Must work Pacific Time hours)</p><p><strong>Compensation:</strong> $150,000 base salary + performance bonus</p><p>About the Role</p><p>We are seeking a highly skilled <strong>Senior Salesforce Developer</strong> to independently design, build, and scale complex Salesforce solutions that support critical business systems and integrations. This role is ideal for someone who thrives in a remote environment, takes ownership end-to-end, and enjoys solving challenging technical problems across Salesforce and cloud platforms.</p><p>You will work closely with cross-functional teams to deliver high-quality, scalable applications, integrations, and data pipelines while following best practices for performance, security, and maintainability.</p><p><br></p><p><br></p>
<p>Infrastructure Engineer</p><p>Location: Torrance, CA (Hybrid – 3 days onsite)</p><p>Compensation: Up to $170,000 base + Incentive Stock Options (DOE)</p><p>Employment Type: Full-Time</p><p>Openings: 2 roles in Los Angeles (Network-focused & Endpoint-focused)</p><p><br></p><p>About the Role</p><p>We are looking for a senior-level Network Engineer with strong DevOps and infrastructure automation responsibilities, supporting factory operations, engineering teams, and production systems.</p><p>You’ll work closely with IT leadership, Data Science, Infrastructure, Security, and Manufacturing teams to design, deploy, and maintain critical systems across on-prem, cloud, and hybrid environments.</p><p>Role Focus Areas</p><p>We’re hiring for a Network-Focused Engineer with hands on experience in Firewalls, routing, VPNs, cloud networking</p><p><br></p><p>What You’ll Do</p><ul><li>Deploy, manage, and troubleshoot physical and virtual infrastructure across factories and offices</li><li>Design and administer on-prem and cloud infrastructure (AWS, EC2, Kubernetes, KVM/QEMU)</li><li>Configure and support network infrastructure (Palo Alto firewalls/VPNs, Juniper networking, AWS TGW)</li><li>Build automation using tools like Terraform, Ansible, Python, and GitOps workflows</li><li>Partner with cybersecurity teams on DLP, compliance, and monitoring solutions</li><li>Provide Tier 3 support and work with vendors on complex issues</li><li>Document systems, architectures, and operational procedures</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIn and Apply Now!</p>
<p>We are seeking a senior-level <strong>Information Architect</strong> for a <strong>6+ month contract engagement</strong> to design and support enterprise data and analytics solutions. This role will focus on building scalable information architectures, semantic models, and data structures that enable robust business intelligence and reporting capabilities across the organization.</p><p><br></p><p>Key Responsibilities</p><ul><li>Define and maintain enterprise information architecture to support analytics and reporting initiatives.</li><li>Design and optimize <strong>semantic and dimensional data models</strong> aligned with business requirements.</li><li>Lead data warehousing initiatives using industry-standard methodologies and best practices.</li><li>Partner with business stakeholders, BI teams, and engineering teams to translate analytical needs into technical solutions.</li><li>Provide hands-on expertise in <strong>SQL</strong>, including complex query development, optimization, and validation.</li><li>Establish architectural standards, governance, and best practices for data and analytics platforms.</li></ul><p><br></p>
